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Tool connections (MCP)

MarkItDown MCP

microsoft/markitdown

Let AI convert PDF, Word, and spreadsheet files into text it can work with.

View source code ↗Setup and usage guide ↗

Introduction

Prepared by 今日热榜 from public project documentation

MarkItDown MCP converts documents into Markdown, a text format that preserves headings and lists for further processing. It is the MCP component within Microsoft's MarkItDown project and suits local document workflows and accessible web resources. Prepare Python or the documented Docker setup and an MCP-compatible assistant; supported formats depend on installed conversion dependencies. Restrict file access according to the documentation. GitHub stars shown here belong to the complete MarkItDown repository, rather than measuring adoption of its MCP component.

Ways to use it

  • Convert document content into Markdown
  • Read local files or accessible web resources
  • Prepare format dependencies and limit file access

The project’s original description

Python tool for converting files and office documents to Markdown.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

More projects of this type

These other listed projects can help you compare use cases and setup requirements.

  • Context7 — Give AI current library documentation and examples before it writes code.
  • Chrome DevTools MCP — Let AI inspect Chrome pages to investigate errors and loading performance.
  • Playwright MCP — Let AI navigate pages, click controls, and fill forms to check web workflows.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project. Daily star growth is not shown without historical records.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected. Failed updates keep the last saved data.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs. Refreshing this list only reads saved data; it does not start collection.

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